Qingyong Hu
18 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π§
Keyword Pioneer
ποΈ
Keyword Collector
(96)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(10)
Computer Vision
(9)
Analysis
(8)
Processing
(7)
Deep Learning
(6)
Core Methods
(6)
Artificial Intelligence
(5)
Core AI
(5)
Application Areas
(3)
Optimization & Theory
(3)
Natural Language Processing
(2)
Architectures
(2)
Domain-Specific
(2)
Resources & Methods
(2)
Techniques
(2)
Keywords
semantic segmentation
(3)
point cloud
(3)
neural network
(3)
point cloud registration
(2)
3d vision
(2)
object detection
(2)
multimodal large language model
(2)
point cloud processing
(2)
3d object detection
(2)
large language model
(2)
instance segmentation
(2)
action recognition
(1)
uncertainty quantification
(1)
symbolic reasoning
(1)
causal inference
(1)
sparse representation
(1)
cross-modal learning
(1)
scene understanding
(1)
3d reconstruction
(1)
multimodal learning
(1)
Papers
Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration
AAAI 2026
ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding
CVPR 2026
Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model
CVPR 2025
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
ICLR 2024
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
CVPR 2024
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
CVPR 2023
3DAC: Learning Attribute Compression for Point Clouds
CVPR 2022
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction
ECCV 2022
Hierarchical Graph Transformer with Adaptive Node Sampling
NeurIPS 2022
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds
ECCV 2022
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
CVPR 2022
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds
CVPR 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
CVPR 2021
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
CVPR 2021
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NeurIPS 2019